earticle

영어

There are some problems in the existing cloud platform resource allocation methods, such as low rates of resource utilization and the lack of accurate prediction of the trend changes of resources, etc. To solve these problems, MPRA（Mixed Prediction Based Resource Allocation）was proposed. According to the periodic and non-periodic characteristics of service resources demand, MPRA first adopts FFT(Fast Fourier Transform) to judge the periodic characteristics. For resource allocation without periodic characteristics, it uses Markov process to predict, and obtains the higher resource utilization and prediction accuracy, thus, to ensure the user experience. The experimental results show that MPRA can accurately predict the change trend of service resource requirements, and then can allocate the virtual machine resources self-adaptively according to the prediction results. Obviously, it has improved the virtual machine resources utilization, reduced the occupation number of physical machines and effectively reduced the violation times in SLA (Service-level Agreement).